Learning Adapters for Code-Switching Speech Recognition
Author:
Affiliation:
1. National Yang Ming Chiao Tung University,Institute of Electrical and Computer Engineering,Hsinchu,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317410.pdf?arnumber=10317410
Reference47 articles.
1. Hierarchical and Self-Attended Sequence Autoencoder
2. Pushing the limits of semi-supervised learning for automatic speech recognition;zhang,2020
3. Bayesian Recurrent Neural Network for Language Modeling
4. Non-Autoregressive ASR Modeling Using Pre-Trained Language Models for Chinese Speech Recognition
5. Simple, Scalable Adaptation for Neural Machine Translation
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Attention-Guided Adaptation for Code-Switching Speech Recognition;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. Adversarial Augmentation For Adapter Learning;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
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